In-silico detection of aneuploidy and chromosomal deletions in wheat using genotyping-by-sequencing.

Aneuploidy Chinese Spring Chromosome deletion Computational Monosomic Nullisomic Trisomic

Journal

Plant methods
ISSN: 1746-4811
Titre abrégé: Plant Methods
Pays: England
ID NLM: 101245798

Informations de publication

Date de publication:
2020
Historique:
received: 31 10 2019
accepted: 23 03 2020
entrez: 14 4 2020
pubmed: 14 4 2020
medline: 14 4 2020
Statut: epublish

Résumé

Short read sequencing technologies, such as genotyping-by-sequencing (GBS), have been utilized in genetic mapping, marker development, and population genomic studies. High-throughput and multiplexing capability coupled with low cost make GBS an appropriate tool for molecular research. Here, we present the application of GBS to characterize wheat aneuploid stocks and detect chromosomal aberrations including aneuploidy and chromosomal deletions. These aneuploids are an important resource that have been used in wheat genetics and genomics studies to localize genes, determine physical positions, and develop chromosome bin maps. Using GBS, we mapped sequence reads and quantified read coverage across chromosome bins. Using this approach, we confirmed known deletions and aneuploid stocks. In addition, we were also able to fully characterize these stocks and to identify several novel deletions and aneuploids. With this knowledge and a quick detection tool at our disposal, we can easily isolate these deletions and aneuploids into distinct lines. We envision this tool to replace the intensive cytogenetics techniques, such as C-banding, and fluorescent- and genomic-in situ hybridization to accurately detect chromosome dosage and segmental deletions in wheat genetic stocks as well as other crop species.

Sections du résumé

BACKGROUND BACKGROUND
Short read sequencing technologies, such as genotyping-by-sequencing (GBS), have been utilized in genetic mapping, marker development, and population genomic studies. High-throughput and multiplexing capability coupled with low cost make GBS an appropriate tool for molecular research. Here, we present the application of GBS to characterize wheat aneuploid stocks and detect chromosomal aberrations including aneuploidy and chromosomal deletions. These aneuploids are an important resource that have been used in wheat genetics and genomics studies to localize genes, determine physical positions, and develop chromosome bin maps.
RESULTS RESULTS
Using GBS, we mapped sequence reads and quantified read coverage across chromosome bins. Using this approach, we confirmed known deletions and aneuploid stocks. In addition, we were also able to fully characterize these stocks and to identify several novel deletions and aneuploids. With this knowledge and a quick detection tool at our disposal, we can easily isolate these deletions and aneuploids into distinct lines.
CONCLUSION CONCLUSIONS
We envision this tool to replace the intensive cytogenetics techniques, such as C-banding, and fluorescent- and genomic-in situ hybridization to accurately detect chromosome dosage and segmental deletions in wheat genetic stocks as well as other crop species.

Identifiants

pubmed: 32280361
doi: 10.1186/s13007-020-00588-3
pii: 588
pmc: PMC7137276
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsAuthors declare no competing interests.

Références

Proc Natl Acad Sci U S A. 1974 Oct;71(10):4086-90
pubmed: 16592188
Theor Appl Genet. 2008 Nov;117(7):1155-66
pubmed: 18712343
PLoS One. 2012;7(2):e32253
pubmed: 22389690
J Hered. 1946 Mar;37:81 107
pubmed: 20985728
Science. 2014 Jul 18;345(6194):1251788
pubmed: 25035500
PLoS One. 2014 Feb 28;9(2):e90346
pubmed: 24587335
Sci Rep. 2019 Jan 24;9(1):650
pubmed: 30679756
Nat Methods. 2012 Mar 04;9(4):357-9
pubmed: 22388286
Funct Integr Genomics. 2003 Mar;3(1-2):39-55
pubmed: 12590342
Science. 2018 Aug 17;361(6403):
pubmed: 30115783
Front Plant Sci. 2019 Jan 25;10:9
pubmed: 30740115
Front Plant Sci. 2017 May 31;8:886
pubmed: 28620398
Genetics. 1939 Jun;24(4):509-23
pubmed: 17246935
PLoS One. 2011 May 04;6(5):e19379
pubmed: 21573248
Bioinformatics. 2007 Oct 1;23(19):2633-5
pubmed: 17586829

Auteurs

Narinder Singh (N)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.
Present Address: Bayer U.S.-Crop Science, 700 Chesterfield Pkwy W, Chesterfield, MO 63017 USA.

John Raupp (J)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.

Dal-Hoe Koo (DH)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.

Bernd Friebe (B)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.

Bikram Gill (B)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.

Jesse Poland (J)

1Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA.

Classifications MeSH